3 papers
cs.LG2026
Federated Cross-Client Subgraph Pattern Detection
Selin Ceydeli, Rui Wang, Kubilay Atasu
Subgraph pattern detection aims to uncover complex interaction structures in graphs. However, state-of-the-art graph neural network (GNN)-based solutions assume centralized access…
cs.LG2024
MEGA: Message Passing Neural Networks for Multigraphs with EdGe Attributes
H. Çağrı Bilgi, Kubilay Atasu
Edge-attributed multigraphs, in which multiple edges with distinct attributes connect the same pair of nodes, arise naturally in many real-world systems. In these graphs, effective…
cs.LG2024
Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
Jovan Blanuša, Maximo Cravero Baraja, Andreea Anghel +4
In this paper, we present "Graph Feature Preprocessor", a software library for detecting typical money laundering patterns in financial transaction graphs in real time. These patte…